diff --git a/gga_get_data.py b/gga_get_data.py
index 07c1b0414d852a1da009480931be900cc723eefa..339daf5e3ca0ea946a5d9105f1d198b194197a8f 100644
--- a/gga_get_data.py
+++ b/gga_get_data.py
@@ -23,7 +23,7 @@ import speciesData
"""
gga_get_data.py
-Usage: $ python3 gga_get_data.py -i input_example.yml --config config.yml [OPTIONS]
+Usage: $ python3 gga_get_data.py -i input_example.yml [OPTIONS]
"""
@@ -87,20 +87,21 @@ class GetData(speciesData.SpeciesData):
# Copy datasets in the organism src_data dir tree correct folder
for k, v in datasets_to_get.items():
- if k in genome_datasets:
- logging.info("Copying {0} into {1}".format(v, organism_genome_dir))
- try:
- shutil.copyfile(os.path.abspath(v), os.path.join(organism_genome_dir, os.path.basename(v)))
- except Exception as exc:
- logging.warning("Could not copy {1} ({2})".format(v, exc))
- elif k in annotation_datasets:
- logging.info("Copying {0} into {1}".format(v, organism_annotation_dir))
- try:
- shutil.copyfile(os.path.abspath(v), os.path.join(organism_annotation_dir, os.path.basename(v)))
- except Exception as exc:
- logging.warning("Could not copy {1} ({2})".format(v, exc))
- else:
- pass
+ if v: # If dataset is not present in input file, skip copy
+ if k in genome_datasets:
+ logging.info("Copying {0} ({1}) into {2}".format(k, v, organism_genome_dir))
+ try:
+ shutil.copyfile(os.path.abspath(v), os.path.join(organism_genome_dir, os.path.basename(v)))
+ except Exception as exc:
+ logging.warning("Could not copy {1} - {2} - Exit Code {3})".format(k, v, exc))
+ elif k in annotation_datasets:
+ logging.info("Copying {0} ({1}) into {2}".format(k, v, organism_annotation_dir))
+ try:
+ shutil.copyfile(os.path.abspath(v), os.path.join(organism_annotation_dir, os.path.basename(v)))
+ except Exception as exc:
+ logging.warning("Could not copy {1} ({2}) - Exit Code: {3}".format(k, v, exc))
+ else:
+ pass
os.chdir(self.main_dir)
@@ -119,10 +120,6 @@ if __name__ == "__main__":
help="Increase output verbosity",
action="store_false")
- parser.add_argument("--config",
- type=str,
- help="Config path, default to the 'config' file inside the script repository")
-
parser.add_argument("--main-directory",
type=str,
help="Where the stack containers will be located, defaults to working directory")
@@ -135,12 +132,6 @@ if __name__ == "__main__":
logging.basicConfig(level=logging.INFO)
logging.getLogger("urllib3").setLevel(logging.WARNING)
- # Parsing the config file if provided, using the default config otherwise
- if not args.config:
- args.config = os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), "config")
- else:
- args.config = os.path.abspath(args.config)
-
if not args.main_directory:
args.main_directory = os.getcwd()
else:
@@ -162,26 +153,14 @@ if __name__ == "__main__":
get_data_for_current_species.genus_species +
"/")
- # Parse the config yaml file
- get_data_for_current_species.config = utilities.parse_config(args.config)
-
# Change serexec permissions in repo
try:
os.chmod("%s/serexec" % get_data_for_current_species.script_dir, 0o0777)
except PermissionError:
logging.critical("Cannot access %s, exiting" % get_data_for_current_species.script_dir)
- # Load config file
- get_data_for_current_species.config = utilities.parse_config(args.config)
-
# Retrieve datasets
logging.info("Finding and copying datasets for %s" % get_data_for_current_species.full_name)
get_data_for_current_species.get_source_data_files_from_path()
logging.info("Sucessfully copied datasets for %s" % get_data_for_current_species.full_name)
-
- # Format fasta headers (proteins)
- # logging.info("Formatting fasta files headers %s " % get_data_for_current_species.full_name)
- # get_data_for_current_species.batch_modify_fasta_headers()
- # logging.info("Successfully formatted files headers %s " % get_data_for_current_species.full_name)
- logging.info("Data successfully copied in src_data for %s" % get_data_for_current_species.full_name)
diff --git a/run_workflow_phaeoexplorer.py b/run_workflow_phaeoexplorer.py
index ead3c936153421ee3b5ad000712a256df72a605d..70f6387e49591e7ea61949e632d814f43b0eeb43 100644
--- a/run_workflow_phaeoexplorer.py
+++ b/run_workflow_phaeoexplorer.py
@@ -64,11 +64,10 @@ class RunWorkflow(speciesData.SpeciesData):
self.set_get_history()
- logging.debug("History ID: " + self.history_id)
+ logging.debug("History ID: %s" % self.history_id)
libraries = self.instance.libraries.get_libraries() # normally only one library
-
library_id = self.instance.libraries.get_libraries()[0]["id"] # project data folder/library
- logging.debug("Library ID: " + self.history_id)
+ logging.debug("Library ID: %s" % self.library_id)
instance_source_data_folders = self.instance.libraries.get_folders(library_id=library_id)
# Access folders via their absolute path
@@ -99,6 +98,7 @@ class RunWorkflow(speciesData.SpeciesData):
if ".gff" in d["name"]:
annotation_gff_ldda_id = d["ldda_id"]
+ # Minimum datasets to populate tripal views --> will not work if these files are not assigned in the input file
self.datasets["genome_file"] = genome_fasta_ldda_id
self.datasets["gff_file"] = annotation_gff_ldda_id
self.datasets["proteins_file"] = annotation_proteins_ldda_id
@@ -354,8 +354,14 @@ class RunWorkflow(speciesData.SpeciesData):
self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["gff_file"])
self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["transcripts_file"])
self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["proteins_file"])
- self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["interproscan_file"])
- self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["blast_diamond_file"])
+ try:
+ self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["interproscan_file"])
+ except Exception as exc:
+ logging.debug("Interproscan file could not be loaded in history {0} ({1})".format(self.history_id, exc))
+ try:
+ self.instance.histories.upload_dataset_from_library(history_id=self.history_id, lib_dataset_id=self.datasets["blast_diamond_file"])
+ except Exception as exc:
+ logging.debug("Blastp file could not be loaded in history {0} ({1})".format(self.history_id, exc))
_datasets = self.instance.datasets.get_datasets()
with open(os.path.join(self.main_dir, "datasets_ids.json"), "w") as datasets_ids_outfile:
@@ -641,14 +647,6 @@ if __name__ == "__main__":
workflow_parameters[PROTEINS_FASTA_FILE] = {}
workflow_parameters[TRANSCRIPTS_FASTA_FILE] = {}
- print(run_workflow_for_current_organism.org_id)
- print(run_workflow_for_current_organism.genome_analysis_id)
- print(run_workflow_for_current_organism.ogs_analysis_id)
- print(hda_ids["genome_hda_id"])
- print(hda_ids["gff_hda_id"])
- print(hda_ids["proteins_hda_id"])
- print(hda_ids["transcripts_hda_id"])
-
workflow_parameters[LOAD_FASTA_IN_CHADO] = {"organism": run_workflow_for_current_organism.org_id,
"analysis_id": run_workflow_for_current_organism.genome_analysis_id,
"do_update": "true"}
@@ -668,11 +666,11 @@ if __name__ == "__main__":
run_workflow_for_current_organism.datamap[PROTEINS_FASTA_FILE] = {"src": "hda", "id": hda_ids["proteins_hda_id"]}
run_workflow_for_current_organism.datamap[TRANSCRIPTS_FASTA_FILE] = {"src": "hda", "id": hda_ids["transcripts_hda_id"]}
- run_workflow_for_current_organism.datamap = {}
- run_workflow_for_current_organism.datamap[GENOME_FASTA_FILE] = {"src": "hda", "id":
- run_workflow_for_current_organism.datasets["genome_file"]}
- run_workflow_for_current_organism.datamap[GFF_FILE] = {"src": "hda",
- "id": hda_ids["gff_hda_id"]}
+ # run_workflow_for_current_organism.datamap = {}
+ # run_workflow_for_current_organism.datamap[GENOME_FASTA_FILE] = {"src": "hda", "id":
+ # run_workflow_for_current_organism.datasets["genome_file"]}
+ # run_workflow_for_current_organism.datamap[GFF_FILE] = {"src": "hda",
+ # "id": hda_ids["gff_hda_id"]}
# Run the Chado load Tripal sync workflow with the parameters set above
run_workflow_for_current_organism.run_workflow(workflow_path=workflow,